Zoox is looking for machine learning and software engineers to help improve autonomous driving quality using large-scale distributed evaluation, optimization, and data analysis. In this role, you will leverage real-world driving data and metrics to tackle optimization problems, develop innovative solution techniques, and play a vital role in shaping the evolution of our AutoML platform and workflows. You will work cross-functionally with engineers in AI platforms, Simulation, and Data Science. Your work will make a direct and measurable impact on vehicle driving behaviors.
Responsibilities- Design large-scale optimization problems and analyze results using driving data
- Lead complex, cross-functional projects
- Design and implement features to improve optimization capabilities
- Improve training data quality
- Communicate your work to other teams at Zoox
Qualifications- BS/MS/PhD in Machine Learning, Computer Science or equivalent experience
- Experience in scaling optimization systems in production (e.g. hyperparameter tuning)
- 4+ years of relevant experience
- Fluency in Python
- Experience with distributed systems
Bonus Qualifications- Fluency in C++
- Experience with black-box optimization and its application to hyperparameter tuning
- Experience with multi-objective optimization
- Experience with autonomous vehicles or robotics
- Experience building large-scale software services on the cloud
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $180,000 to $256,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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